Top Tech Jobs & Startup Jobs

Conduct applied research in computer vision, biometrics, face recognition, image quality, and anti-spoofing. Manage the full research lifecycle, including data acquisition, annotation, deep learning model training, experimentation, deployment, and SDK support. Collaborate across research teams, resolve technical challenges, uphold security and quality practices, and contribute to patents, publications, and production-ready machine learning solutions.

Validate back-end applications through manual and automated testing. Responsibilities include reviewing specifications and architecture, defining test strategies and cases, executing functional and non-functional tests, maintaining regression and CI/CD test suites, improving automation frameworks, managing defects, investigating fixes, and reporting testing progress to stakeholders.

Manage strategic enterprise accounts and drive sustainable revenue growth through account development plans, pipeline strategy, customer engagement, renewals, and solution adoption. Build relationships with senior stakeholders, identify new business opportunities, lead sales and pre-sales activities, coordinate contracts, and support customer retention. Collaborate closely with Customer Success, Solution Consulting, Product Marketing, and global account teams while maintaining accurate Salesforce data and facilitating executive business reviews.

Leads UX research and experience strategy for reusable AI capabilities across enterprise business lines. Conducts research on AI transparency, trust, control, monitoring, explainability, and human-in-the-loop workflows. Translates findings into product recommendations, design principles, and reusable interaction patterns. Collaborates with Product, Design, Engineering, Architecture, and AI teams, facilitates workshops, supports product planning, and mentors UX and AI communities.

Conducts qualitative and quantitative UX research, including interviews, surveys, field studies, usability testing, A/B testing, and analytics analysis. Defines research objectives, recruits participants, facilitates research sessions, develops personas and customer journeys, and translates findings into product and interface improvements. Collaborates with product managers, UX designers, and developers, documents research protocols and findings, and promotes user-centered design across multidisciplinary teams.

Lead applied research in computer vision, machine learning, face recognition, anti-spoofing, and biometric capture. Define research strategy, establish data and model governance practices, develop production-ready AI solutions, ensure compliance with responsible AI and security standards, influence product roadmaps, resolve complex technical issues, publish research, generate patents, and mentor researchers.

Owns strategy and delivery for data-driven products in the airline or airport domain. Responsibilities include defining product vision, roadmaps, MVPs, and feature priorities; developing value propositions and competitive positioning; collaborating with stakeholders and engineering teams; and applying AI capabilities and prototyping tools to validate product concepts. The role also requires knowledge of supply chain management, data platforms, Agile/SAFe practices, PI planning, product ownership, and release management.

Designs and operates secure, reliable infrastructure for enterprise AI and multi-agent applications. Responsibilities include AI security, cloud and platform engineering, CI/CD, infrastructure as code, observability, identity and secrets management, incident response, reliability engineering, and performance optimization. The role establishes reusable DevSecOps frameworks and production-readiness standards for AI workloads while addressing prompt safety, data leakage, permissions, and responsible AI risks.

Leads the architecture and development of reusable, production-grade AI components and services. Designs multi-model orchestration, memory, retrieval, evaluation, and agent frameworks while improving reliability, security, observability, and cost efficiency. Builds and validates AI solutions across prototyping, testing, and production, mentors engineering teams, and supports enterprise-scale adoption of generative AI through scalable cloud-native platforms.

Drives new-logo acquisition and expansion sales for hospitality software solutions across an assigned territory. Responsibilities include prospect outreach, consultative selling, pipeline management, product demonstrations, negotiation, forecasting, closing deals, and achieving revenue targets. The role partners with Account Executives, Solution Consultants, Sales, and Business Development teams; monitors market trends and competition; provides customer feedback to influence product strategy; and supports sales enablement initiatives. The position is hybrid in Bogota and requires willingness to travel.